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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    phrases related to the word "Sand"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Sand" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uates
    -0.78
     sight
    -0.71
    urses
    -0.71
     polarization
    -0.68
    KT
    -0.67
     lockout
    -0.64
    UTERS
    -0.64
     toxin
    -0.63
     depreciation
    -0.61
     pity
    -0.60
    POSITIVE LOGITS
    wic
    1.39
    usky
    1.18
    oval
    1.16
    alph
    1.09
    paper
    1.06
    vich
    1.04
    erson
    1.02
    hill
    1.02
    boxing
    1.00
    box
    1.00
    Activations Density 0.041%

    No Known Activations